جستجوی مقالات مرتبط با کلیدواژه "o analysis" در نشریات گروه "اقتصاد"

Mina Rabiee Mohammad Nasiri Abstract The present research was conducted with the aim of meta-analysis of the barriers affecting the development of sports entrepreneurship in Iran and to obtain a coherent result from among many researches. The research method was descriptive and meta-analytical. The statistical population of this research was all internal researches related to the barriers of sports entrepreneurship in Iran in the period of 2010 to 2023. Among the reported studies, 44 studies that met the criteria for entering the meta-analysis process were selected as a statistical sample. The analysis of the collected data was done using CMA3 and SPSS software. The results showed that the combined effect size of entrepreneurship barriers in the random effects model based on the Hex g index is equal to 0.916, which is considered a large and significant effect size (P<0.001, Z=12.62). The results of Cochran's test (P<0.001, 1273/90) and the results of the I-squared index indicating heterogeneity between effect sizes were obtained. Therefore, the study of subgroups was considered and the results of the analysis showed that behavioral (4.962), general (2.741) and environmental (2.351) barriers have the greatest effect on the lack of development of sports entrepreneurship in Iran. The results of safe N test of Rosenthal's error and funnel plot also showed the accuracy and absence of propagation error. Based on the results of the research, planning to minimize the inhibiting factors of sports entrepreneurship in the three main behavioral, general and environmental dimensions can play a very important role in creating and expanding sports entrepreneurship.It is suggested that, encouraging financial sponsors to invest in sports through the government by creating incentives for financial sponsors from the sports organization in the planned plans. be placed Promotion of social security among sports business owners (insurance coverage, business failure and unemployment) taking into account financial benefits and tax stability in order to involve sports creative people in the private sector through the social security organization. By providing and creating suitable cultural, managerial and economic platforms for the presence and investment of the private sector in sports and entrusting the affairs related to sports in a competitive, dynamic and transparent environment, privatization in sports should be addressed.

  Foresight involves a set of endeavors that, by searching for resources, patterns, and factors of change or stability, visualize potential futures and plan for them. Foresight reflects how the reality of "tomorrow" is born from the changes of "today." The expansion of higher education institutions has created demand and competition for women's presence in universities and transformed their social identity. The institution of the university has caused women to rethink their identities, and their identities are constantly being constructed. The aim of this research is to forecast the transformation of women's social identity within the university institution, an area that has not been previously researched. Therefore, it is innovative in terms of its subject matter and the approach adopted. The statistical population of the research consisted of experts in sociology and university employees. The sample size was 18 people, and the data collection tool was interviews. After transcribing the interviews, the main and sub-themes of the interviews were extracted using thematic analysis, and then, by applying causal layered analysis, their components and dimensions were identified at four levels: litany, social causes, discourse, and myth. The findings of the research using these four levels show that the university environment has caused women to constantly rethink their identities, and this will continue in the future. Women resist the inequality between men and women using various discourses, and with their continued resistance, equality between men and women will become a normal matter in the future. In the university, women's semantic structures have changed, and women have increased their activities in the social sphere, in the process of modernization has had a significant impact.

using countercyclical fiscal policies in macroeconomics has a long history. Policymakers use these policies to stabilize the economy and put the economy on the path of long-term growth. The experience of the 2008 financial crisis somewhat complicated this issue. Because the countries involved in economic recession were also facing high debt crisis. It is natural in such a situation to use any expansionary fiscal policy for economic stabilization, disrupting financial stability and leading to the deepening of the financial crisis. Therefore, the Fiscal consolidation of governments is of great importance in such times, although there is no single opinion regarding its relationship with economic growth. Considering the importance of financial consolidation in the economy, in this study we have investigated its relationship with economic growth. Based on this, in the first stage, we received 1402 studies from reliable databases using the keywords of Fiscal consolidation and economic growth, and then, according to meta-analysis protocols, we selected only 22 studies with final conditions to continue the study. The results of combining the effect size in different studies is 0.023, but it is not statistically significant. The positive effect size can be attributed to the co-direction of Fiscal consolidation and economic growth, which in the macroeconomics literature is related to the Keynesian effects of Fiscal consolidation. But the interpretation of its non-significance in this study is also that it is not possible to make a firm opinion about the Keynesian or non-Keynesian effects of Fiscal consolidation, as in the literature presented in macroeconomics. In the following, the results of the heterogeneity test and the publication bias of the meta-analysis confirmed the validity of the obtained results.

Customers have a special priority as the cause of existence and in the continuation of banking life, and the analysis of customers' behavior in the financial and monetary markets in the financial literature was interpreted for a long time based on classical theories such as the theory of economic utility and the theory of competition, regarding the theories related to behavior Customers can also consider money demand models, the most important of which is Friedman's money demand theory. In this research, using this theory and the use of hierarchical analysis and finally simultaneous equation analysis, the factors affecting the behavior of legal bank customers have been investigated. Is. According to the research results; The deposit interest rate, premium deposit interest rate has a significant positive effect and inflation has a significant negative effect on the demand for long-term investment deposits, and for current loan deposits and savings of legal entities, there are significant negative and positive effects. Exchange rate fluctuations have a significant negative effect. It has demand for both types of current loan deposits and savings and long-term investment deposits. Electronic banking and payment facilities have a significant positive effect on both demand for current loan deposits and savings and long-term investment deposits.

Legal economics is one of the social sciences that is recognized as a necessity in legislative policy making. Economics has proven theories, principles, and rules which assists the lawyer in formulating and interpreting legal rules. The result of the combination of economics and law is the refining of some ancient institutions that do not have the necessary efficiency in the present age. One of these is the Aghele guarantee, which appeared in the life of the Arab tribes before the advent of Islam and was confirmed after the advent of Islam. This institution, which can be justified in order to reduce the effects of the crime committed through collective participation in the payment of blood money and the survival of tribal life in the past, is not effective in today's society due to social developments and reliance on economic theories. For this purpose, it is necessary to evaluate the social and economic function of the Aghele guarantee in the present age and to make a correct analysis of the Aghele guarantee in order to make legal institutions and facilities more efficient. In the present paper, the effectiveness of the rational guarantee is measured according to the social criteria of the present age, and based on the evolution of social variables and lifestyle, the necessity of the survival of the rational guarantee will be inferred. Also, by emphasizing the essential place of economics in legal analysis, the function of the wise institution as responsible for compensation is adapted to the principle of efficiency and cost-benefit, and based on these economic principles, a suitable alternative to the Aghele institution is proposed.

This study examines textual data's ability to nowcast Iran's gross domestic product (GDP). To this end, 301,498 economic news articles from March 2005 to December 2023 were extracted from the Fars news agency website using a web crawling technique. Following initial preprocessing, the news texts were sorted into various categories via the Dirichlet Latent Allocation (LDA) model, wherein each category corresponds to a distinct news topic. Subsequently, to ascertain whether an article conveys a positive or negative sentiment, we executed lexicon-based sentiment analysis utilizing SentiStrength. Ultimately, by aggregating the news sentiment scores seasonally under each topic, we constructed a seasonal sentiment time series. These time series were then assessed for their efficacy in nowcasting Iran's quarterly GDP, employing ridge regression, lasso regression, elastic net, and gradient boosting methods. The findings reveal that incorporating textual data can reduce prediction errors by 12 to 18 percent relative to a univariate time series model. Moreover, our results suggest that sentiment extracted from textual content, particularly news articles, is a viable approach. This strategy could potentially enable the provision of immediate GDP estimates following the end of each reference quarter.

The current research was conducted with the aim of identifying, modeling and analyzing the scenario of coopetition acceptance factors in the health sector. For this purpose, in the first step of the research by using semi-structured interviews with experts in the health sector, 44 acceptance factors for coopetition were identified. Following this stage, the factors were categorized in 13 categories: "stakeholder engagement", "management attitude", "organizational factors", "Previous experiences in coopetition", "Society culture", "cognitive skills", "manpower characteristics", "management ability", "complementarity", "special conditions", "organizational culture", "legal conditions", and "perceived benefits". In the second and third stages, in order to identify key factors, scenario analysis was conducted. The results of the cognitive mapping show that "stakeholder engagement" is the dependent variable, "previous experiences in coopetition", "society culture", and "special conditions" are driving variables and other common variables. The "stakeholder engagement", "managerial attitude", and "legal conditions", have highest degree of influence from other factors, and the "management ability", "managerial attitude", and “perceived benefits", have the highest degree of greatest influence on others factors. Also, the "managerial attitude", "managerial ability" and "stakeholder engagement" have the highest degree of centrality. The path analysis results highlight the significance of "managerial attitude" and "managerial ability" in backward scenarios, as well as "organizational factors" and "perceptual skills" in forward scenarios. The findings suggest the need to attract capable managers, boost the self-confidence and flexibility of human resources, and foster associations among competitors.

This research aims to develop a multi-level model of sociological factors to enhance the business environment in Isfahan province. The study is applied in purpose and employs a mixed-methods approach, specifically a sequential-exploratory design.The statistical population includes 6 experts from the provincial management and planning organization, who collaborated on the project, and 17 provincial-level experts. These experts include university faculty members, representatives from the local chamber of commerce, the science and technology corridor, the chamber of trades, the economic and financial affairs sector, business owners, and professionals from the management and planning organization. Participants were selected through purposeful sampling.Using the fuzzy Delphi technique, 28 factors were identified and grouped into 8 key categories. Structural-interpretive modeling was then applied to organize these factors into a four-level hierarchical model. The results highlight "good governance" as the foundational factor for improving the business environment, with the remaining factors distributed across subsequent levels.

Given the growing role of home-based businesses in the country's economic and social dynamics, accurately identifying the factors influencing the development of this sector is of paramount importance. This research aims to identify key factors affecting the growth of home-based businesses to facilitate policy-making in this area and maximize the potential of home-based businesses in the country. This study employs a mixed-methods approach (qualitative and quantitative) with an exploratory and applied research design. To this end, 44 interviews were conducted with policymakers, executive officials in the home-based business sector, university professors, and entrepreneurship researchers, as well as entrepreneurs and pioneers in the home-based business field. The data obtained from the interviews were coded and thematically analyzed using MAXQDA 2023 software. After coding the data and identifying key categories and subcategories, the factors were ranked using the method of interaction analysis. The results showed that the capacity of development and support institutions, the role of unions and associations, networking, clustering and sustainability, education, a supportive-developmental approach, positive discrimination, financial facilities and facilitation, virtual facilities and facilitation, and physical-spatial facilities and facilitation are the key factors in the home-based business system in Iran. It is expected that these findings, which have led to the identification of challenges and key points related to home-based businesses in the country, will result in the provision of practical solutions to improve productivity, enhance working conditions, develop more effective policies, and ultimately increase the share of home-based businesses in the national economy

In this study, considering the characteristics of complex networks such as dynamics and comprehensiveness in analyzing the behaviors of countries, the global network of foreign investment inflows consisting of 248 countries and trade territories in the years 2009 to 2022 was constructed, and network indicators including degree, closeness centrality, betweenness centrality, PageRank, hub, and authority were calculated. Then, the functional position of the top-performing countries based on the intensity and level of the obtained network indicators was analyzed and compared annually. The results obtained during the study period showed improvement in the degree, betweenness, and PageRank indices, which respectively indicate the number and diversity of communications, the share of information control among countries, and countries' efforts to use the influence of neighbors to reach polar and influential countries. The effect of increasing closeness centrality, which indicates the level of independence, on the main countries in the effective network has improved. Therefore, it is recommended that if countries seek to increase foreign direct investment inflows, they should plan in such a way that their network indicators, resulting from increased interactions and communications, are improved.

The economic puzzle of the relationship between the rent of natural resources and growth and the ways of its influence on income distribution are discussed from several aspects; On the one hand, the creation of rent-seeking opportunities and the size of the shadow economy to take over the rent from resources will reduce economic efficiency and inequality in income distribution. And other hand, the optimal use of natural resource income for the education and health of human capital leads to a fair distribution of income. The aim is to estimate the direct and indirect effects (spatial spillovers) of the spatial proximity of resource rents on income distribution, including the role of the human development index and the shadow economy in two long and short-term dimensions in the form of spatial econometrics using distance-weighted proximity matrix among 75 countries. It is in 4 income groups in the period (1990-2021). Using Moran's test, the spatial model was confirmed and the spatial dynamic pattern (spregxt) was estimated. The results the decreasing trend of direct and indirect effects of resource rent in the long term due to the increase in per capita income in countries in 4 income groups; As high- and middle-income countries manage and control the shadow economy and invest in the education and health of human resources, the equal distribution of income within the country has improved the distribution of income in neighboring countries as well. In lowand middle-income countries, the negative impact of the shadow economy on income distribution has become more widespread over time.

Internet businesses have now expanded significantly worldwide. One of the important fields in which Internet businesses are used is charity. Internet businesses of charitable institutions are one of the new topics that have been raised in the field of charity governance. The current research was conducted to design the Internet business model of charitable institutions in the country. The Internet business model allows charitable organizations to have information about the organization, financial aid opportunities, and resources available at all hours of the day and night, and the audience can access the organization anywhere in the world. Also, internet platforms reduce the overhead costs associated with the traditional method of fundraising or face-to-face events, increase speed, and thus increase efficiency. Also, they will improve communication and interactions and be transparent and reliable about reporting.

 Research Methodology​:

In line with the purpose of this research, first, the theoretical basis of the field of business models and Internet business models as well as charitable institutions were studied and investigated. The methodology of the current research is qualitative and exploratory, and the thematic analysis method was used to analyze the data. To answer the main question, first, semi-structured interviews were conducted with charity internet business owners, then the interviews were analyzed using the thematic analysis method. In this research, the components of the canvas model were used as the basis of the work due to their comprehensiveness and frequency of application in the field of practice, and the interview framework was set based on it. The qualitative research approach has been conducted with a fundamental orientation and inductive logic using the thematic analysis method.

The network of themes was extracted from the interviews with 353 basic themes, 51 organizing themes, and 10 overarching themes including value proposition, main activity, main resources, key partners, customers, relationships with customers, distribution channels, costs and income streams, and environment. Amending the upstream laws related to charities to facilitate the expansion of internet charities in the country, the need to design the headquarters and institution of the upstream Supreme Council for the management of charities and internet businesses, improving the access of internet businesses to the virtual space, and considering suitable facilities for them were among the most important measures that should be placed on the agenda of policymakers to expand the online business of charities. The final model of the research is in Figure 1.

The current research was done in response to the main question, that is what is the model of internet business in charity organizations? This research was carried out with semi-structured interviews with experts in this field. After that, using theme analysis, all the interviews were reviewed and their themes were extracted, which include 353 basic themes, 51 organizing themes, and 10 overarching themes. The Internet business model of charities was obtained based on the nine-component model of the well-known business including value proposition, main activity, main resources, key partners, customers, relationships with customers, distribution channels, costs and income streams. Also, the environmental component and environmental restrictions were added as one of the new dimensions to the business model of charities. In each of these components, explanations were provided according to the obtained themes, and the organizing themes were briefly described in each one.After examining the background of the research, it was found that the present article is different from previous studies. The difference is in creating a new framework for fundraising in charitable organizations on the World Wide Web (Internet). This is the main innovation of the current research and makes the current article uniquely different from previous research. This new framework allows charities to fundraise more effectively and efficiently. Unlike previous research that focused more on traditional and non-online methods, the current research has investigated and analyzed in the global network space and presented a comprehensive and innovative model for charity activities in the global network. This model can be used as a practical guide for charitable organizations and help to improve their performance and increase their productivity.

Several studies have used the data envelopment analysis method in the field of portfolio optimization or efficiency evaluation of companies listed on the Tehran Stock Exchange, but less attention has been paid to the network data envelopment analysis method and indicators simultaneously derived from technical and fundamental analysis. Therefore, considering the importance of the issue, the purpose of this article is to evaluate the relative and integrated efficiency of the Tehran Stock Exchange using "production process" and "financial production process" with the approaches of Fundamental Analysis (FA) and Technical Analysis (TA). To achieve this, the network data envelopment analysis model (NDEA) was used for the period 2014-2021. In addition, FAHP and SOCP are developed, respectively, to determine the weights of the first and second stages and to solve the nonlinear problem in the AED model. In addition, the efficiency of the year 2021 is predicted based on the efficiency values of the previous years by using simple regression analysis. The results showed: the production process is more important in defining the overall efficiency of a company; there is a significant difference in the efficiency distribution among different industries; Kh-Sapa and Khodro achieved 100% overall efficiency and the Technical and Engineering Services industry achieved the highest overall efficiency; the predicted efficiency values are very close to the actual efficiency values in 2021. Based on the results, it is suggested that investors pay more attention to the fundamental analysis in order to create an investment portfolio. Additionally, focus more on the companies with higher first and second stage efficiency, since they are investment proposals.